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It's Time for a Layered Approach to Collections

Your Virtual Credit Manager

Larger balances and higher-risk customers receive more personalized and persistent collection efforts, while accounts with smaller balances and lower-risk are addressed through a heavier dose of automated dunning notices. However, that doesn’t exclude an opportunity to do even better.

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Sales Commissions Impact the Collection Process

Your Virtual Credit Manager

The sales team learned very quickly that eliminating the friction from the billing and payment processes facilitated earlier customer payments, hence larger commissions. The bottom line was a 13 percent reduction in Days Sales Outstanding (DSO) over a 6 month period in conjunction with invoice accuracy rising above 90 percent.

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Four Burning Questions About AI in Finance and Credit – Answered

Emagia

How can AI help decrease DSO (Days Sales Outstanding)? Reducing Days Sales Outstanding (DSO) is a perpetual challenge, and AI emerges as a strategic ally in this pursuit. This enables companies to focus their collection efforts more effectively and prioritize high-risk accounts.

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Is Your AR Management up to the Task?

Your Virtual Credit Manager

Poor Credit Controls: Poor credit control practices can result in providing goods or services to high-risk accounts that are likely to pay beyond terms or even default on payments. Photo by Elisa Ventur on Unsplash When a company’s AR under-performs, the consequences are substantial. An under performing AR.

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How to Improve Task Prioritization for A/R Collections Teams

Gaviti

Start small with these core KPIs and then expand your options as the need arises: Days Sales Outstanding: It gauges how long it takes for customers to pay their invoices. Accounts Receivable Turnover: This metric measures how quickly customers pay off their debt. Book a demo today to see how it works.

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Effectively Collecting Receivables Is a Time Management Challenge

Your Virtual Credit Manager

In an ongoing Collections environmen t , you will have already contacted the high risk accounts, so your prioritization scheme should be as follows: Accounts previously contacted that have failed to pay as promised. In fact, broken promises should be followed up the day after the payment was expected.